Builds searchable knowledge bases from multiple data sources by loading data into a Qdrant vector database with MCP server support.
Qdrant Loader is a comprehensive toolkit designed to streamline the process of building searchable knowledge bases. It facilitates the collection and vectorization of technical content from diverse sources, storing it within a Qdrant vector database. The included MCP server enhances LLM application integration, providing seamless RAG capabilities to tools like Cursor IDE, enabling more intelligent and context-aware search experiences.